如何访问谷歌地图iOS Chrome端的FROM MENU与ATMOSPHERE照片标签？

First off, those tabs are likely experimental or mobile-web-only features Google is testing specifically for iOS Chrome's Google Maps experience. Google often rolls out interface tweaks and niche features to specific user segments or platforms first (like mobile web vs. native apps/desktop) to gather feedback, which is why you're not seeing them elsewhere.

Since there's no official public API (like the Places API) that exposes these filtered photo sets directly, here are the most practical ways to access them:

• Directly via iOS Chrome + Developer Tools
  This is the most reliable way to get the exact photo lists you're seeing:

  1. On your iOS device, enable Chrome's developer tools (go to Chrome Settings > Advanced > Developer Tools, toggle it on).
  2. Navigate to the place in Google Maps web, open the photos section, and switch between the "FROM MENU" and "ATMOSPHERE" tabs.
  3. Use Chrome's dev tools (or connect your iOS device to a desktop Chrome instance for easier debugging via remote debugging) to inspect the network requests being made when you switch tabs.
  4. Look for API calls that return photo data—you'll notice a filter parameter in the request URL/body that specifies the tag (like menu or atmosphere). You can replicate these requests programmatically to fetch the filtered photo sets directly, without needing Cloud Vision.

  Note: These internal APIs aren't documented and can change at any time, but they work for as long as Google keeps the feature active on mobile web.

• Leverage the Places API with Metadata Filtering
  While the Places API doesn't have a direct filter for these tags, you can use the placePhotos endpoint to fetch all photos for a place, then inspect metadata like html_attributions or photo source details. Some "FROM MENU" photos are uploaded directly by the business, which might be flagged in the attribution data—you can use this to create a rough filter without full image analysis.

If you're trying to avoid relying on internal APIs or high Cloud Vision costs:

• Optimize Cloud Vision Usage: Google Cloud Vision has a free tier (1,000 label detection requests per month at no cost). You can limit analysis to only photos that don't have obvious metadata tags, or batch requests to stay within the free tier as much as possible.
• Crawl and Cache: If you're working with a fixed set of places, crawl the photo lists once via the mobile web method and cache the results, so you don't need to repeat requests or analysis.

内容的提问来源于stack exchange，提问作者Andrew Schultz